Lorena de Mena

1.0k citations
22 papers · 626 indexed · h-index 15
Topics
Parkinson's Disease Mechanisms and Treatments (9 papers)Alzheimer's disease research and treatments (5 papers)RNA regulation and disease (4 papers)

In The Last Decade

Lorena de Mena

22 papers receiving 620 citations

Peers

Lorena de Mena
Comparison fields: 5 of 68
  • Molecular Biology 362
  • Neurology 212
  • Cellular and Molecular Neuroscience 197
  • Physiology 176
  • Neurology 71
Replace Mario Sanhueza with:
Mario Sanhueza Chile
Paul C. Marcogliese United States
George Lawless United States
Wen Zhu United States
Jonathan C. Grima United States
Matthew C. W. Oswald United Kingdom
Alžbeta Trančíková Slovakia
Ariana Gatt United Kingdom
Karen Nuytemans United States
Gonzalo S. Nido Norway
Lorena de Mena relative to Mario Sanhueza Chile Mario Sanhueza's profile →
Citations per field
00.5×1.5×2.3×
Mario Sanhueza · 1×
Citations per year

Countries citing papers authored by Lorena de Mena

Since Specialization
Citations

This map shows the geographic impact of Lorena de Mena's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lorena de Mena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorena de Mena more than expected).

Fields of papers citing papers by Lorena de Mena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lorena de Mena. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lorena de Mena. The network helps show where Lorena de Mena may publish in the future.

Co-authorship network of co-authors of Lorena de Mena

This figure shows the co-authorship network connecting the top 25 collaborators of Lorena de Mena. A scholar is included among the top collaborators of Lorena de Mena based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lorena de Mena. Lorena de Mena is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 2
3 11
4 5
5 15
6 10
7 4
8 47
9 58
10 48
11 15
12 34
13 10
14 39
15 59
16 39
17 56
18 58
19 27
20 26

About Lorena de Mena

Lorena de Mena is a scholar working on Aging, Neurology and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 626 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (9 papers), Alzheimer's disease research and treatments (5 papers) and RNA regulation and disease (4 papers). The work is most often cited by research in Aging (34 citations), Neurology (212 citations) and Cellular and Molecular Neuroscience (197 citations). Lorena de Mena has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Diego E. Rincón-Limas, Victoria Álvarez, Eliécer Coto, Pedro Fernández-Fúnez, René Ribacoba, Carlos Salvador, Ana I. Corao, Lucía Cardo, Manuel Menéndez‐González and Germán Morís. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Human Molecular Genetics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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